{"id":"https://openalex.org/W4413120500","doi":"https://doi.org/10.1109/msp.2025.3555368","title":"Learn, Denoise, and Discover: A guide to deep denoising with an application to electron microscopy","display_name":"Learn, Denoise, and Discover: A guide to deep denoising with an application to electron microscopy","publication_year":2025,"publication_date":"2025-03-01","ids":{"openalex":"https://openalex.org/W4413120500","doi":"https://doi.org/10.1109/msp.2025.3555368"},"language":"en","primary_location":{"id":"doi:10.1109/msp.2025.3555368","is_oa":false,"landing_page_url":"https://doi.org/10.1109/msp.2025.3555368","pdf_url":null,"source":{"id":"https://openalex.org/S120977877","display_name":"IEEE Signal Processing Magazine","issn_l":"1053-5888","issn":["1053-5888","1558-0792"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Magazine","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101680754","display_name":"Sreyas Mohan","orcid":"https://orcid.org/0000-0001-8629-0181"},"institutions":[{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sreyas Mohan","raw_affiliation_strings":["Meta Platforms, Burlingame, CA, USA"],"raw_orcid":"https://orcid.org/0000-0001-8629-0181","affiliations":[{"raw_affiliation_string":"Meta Platforms, Burlingame, CA, USA","institution_ids":["https://openalex.org/I4210114444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004728264","display_name":"Kangning Liu","orcid":"https://orcid.org/0000-0002-0187-4602"},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kangning Liu","raw_affiliation_strings":["Adobe, San Jose, CA, USA"],"raw_orcid":"https://orcid.org/0000-0002-0187-4602","affiliations":[{"raw_affiliation_string":"Adobe, San Jose, CA, USA","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053665373","display_name":"Peter A. Crozier","orcid":"https://orcid.org/0000-0002-1837-2481"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peter A. Crozier","raw_affiliation_strings":["School for Engineering of Matter, Transport and Energy, Arizona State University, Tempe, AZ, USA"],"raw_orcid":"https://orcid.org/0000-0002-1837-2481","affiliations":[{"raw_affiliation_string":"School for Engineering of Matter, Transport and Energy, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044336556","display_name":"Carlos Fernandez\u2010Granda","orcid":"https://orcid.org/0000-0001-7039-8606"},"institutions":[{"id":"https://openalex.org/I36672615","display_name":"Courant Institute of Mathematical Sciences","ror":"https://ror.org/037tm7f56","country_code":"US","type":"education","lineage":["https://openalex.org/I36672615","https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carlos Fernandez-Granda","raw_affiliation_strings":["Courant Institute of Mathematical Sciences, and Center for Data Science, New York University, New York, NY, USA"],"raw_orcid":"https://orcid.org/0000-0001-7039-8606","affiliations":[{"raw_affiliation_string":"Courant Institute of Mathematical Sciences, and Center for Data Science, New York University, New York, NY, USA","institution_ids":["https://openalex.org/I36672615"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.032,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.76780498,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"42","issue":"2","first_page":"38","last_page":"56"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9894999861717224,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9783999919891357,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6586293578147888},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5980935096740723},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5912033319473267},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.5433850884437561},{"id":"https://openalex.org/keywords/microscopy","display_name":"Microscopy","score":0.45738688111305237},{"id":"https://openalex.org/keywords/electron-microscope","display_name":"Electron microscope","score":0.43550339341163635},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42797911167144775},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4168975055217743},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.12919455766677856},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10347214341163635}],"concepts":[{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6586293578147888},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5980935096740723},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5912033319473267},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.5433850884437561},{"id":"https://openalex.org/C147080431","wikidata":"https://www.wikidata.org/wiki/Q1074953","display_name":"Microscopy","level":2,"score":0.45738688111305237},{"id":"https://openalex.org/C93877712","wikidata":"https://www.wikidata.org/wiki/Q132560","display_name":"Electron microscope","level":2,"score":0.43550339341163635},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42797911167144775},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4168975055217743},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.12919455766677856},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10347214341163635}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/msp.2025.3555368","is_oa":false,"landing_page_url":"https://doi.org/10.1109/msp.2025.3555368","pdf_url":null,"source":{"id":"https://openalex.org/S120977877","display_name":"IEEE Signal Processing Magazine","issn_l":"1053-5888","issn":["1053-5888","1558-0792"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Magazine","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2950449535","display_name":"Elements: Collaborative Research: Community-driven Environment of AI-powered Noise Reduction Services for Materials Discovery from Electron Microscopy Data","funder_award_id":"2103936","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7414742378","display_name":"Elements: Collaborative Research: Community-driven Environment of AI-powered Noise Reduction Services for Materials Discovery from Electron Microscopy Data","funder_award_id":"2104105","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1998419211","https://openalex.org/W2003884262","https://openalex.org/W2006262236","https://openalex.org/W2041625018","https://openalex.org/W2048695508","https://openalex.org/W2056370875","https://openalex.org/W2078204800","https://openalex.org/W2099244020","https://openalex.org/W2107844156","https://openalex.org/W2108171241","https://openalex.org/W2108855378","https://openalex.org/W2109812093","https://openalex.org/W2115755118","https://openalex.org/W2132680427","https://openalex.org/W2133665775","https://openalex.org/W2141039087","https://openalex.org/W2144275666","https://openalex.org/W2508457857","https://openalex.org/W2768814045","https://openalex.org/W2902857081","https://openalex.org/W2947930026","https://openalex.org/W2962785568","https://openalex.org/W2963571608","https://openalex.org/W2968466051","https://openalex.org/W3027834173","https://openalex.org/W3035689718","https://openalex.org/W3093943387","https://openalex.org/W3098418424","https://openalex.org/W3119769574","https://openalex.org/W3119800349","https://openalex.org/W3178192988","https://openalex.org/W3201061622","https://openalex.org/W3207918547","https://openalex.org/W4214617338","https://openalex.org/W4255521522","https://openalex.org/W4301343136","https://openalex.org/W4408016913","https://openalex.org/W6631190155","https://openalex.org/W6746466744","https://openalex.org/W6749271710","https://openalex.org/W6751008754","https://openalex.org/W6759001153","https://openalex.org/W6762734363","https://openalex.org/W6764313512","https://openalex.org/W6780682101","https://openalex.org/W6799439929","https://openalex.org/W6845970544"],"related_works":["https://openalex.org/W2106173226","https://openalex.org/W1520158892","https://openalex.org/W2087258800","https://openalex.org/W3111994488","https://openalex.org/W168865677","https://openalex.org/W2072424450","https://openalex.org/W2810018092","https://openalex.org/W4407169614","https://openalex.org/W2387428419","https://openalex.org/W4401571043"],"abstract_inverted_index":{"This":[0],"tutorial":[1,22],"provides":[2],"a":[3,37,93,134],"self-contained":[4],"description":[5],"of":[6,105,143,147],"deep":[7,107,120],"learning":[8,121],"methodology":[9],"for":[10],"denoising,":[11],"emphasizing":[12],"aspects":[13],"that":[14],"are":[15,63,123],"important":[16],"in":[17,36,109],"real-world":[18],"scientific":[19],"applications.":[20],"The":[21],"presents":[23],"convolutional":[24],"neural":[25],"networks":[26],"(CNNs)":[27],"from":[28],"first":[29],"principles,":[30],"explaining":[31],"how":[32,45,56],"to":[33,46,57,83,99,125],"train":[34],"them":[35],"supervised":[38],"and":[39,55,77,103,118],"unsupervised":[40],"manner.":[41],"It":[42],"also":[43],"describes":[44],"analyze":[47],"the":[48,101,113,141,145],"denoising":[49,108],"strategies":[50],"learned":[51],"by":[52],"these":[53],"models":[54,122],"evaluate":[58],"their":[59],"performance.":[60],"Illustrative":[61],"examples":[62],"provided":[64],"based":[65],"on":[66],"computational":[67],"experiments":[68,86],"with":[69,140],"simple":[70],"1D":[71],"piecewise":[72],"constant":[73],"signals,":[74],"natural":[75],"images,":[76],"simulated":[78],"electron":[79,128],"microscopy":[80,129],"data.":[81],"Code":[82],"reproduce":[84],"all":[85],"is":[87,97],"available":[88],"online":[89],"athttps://kangningthu.github.io/AI-powered-denoising.":[90],"In":[91,112],"addition,":[92],"detailed":[94],"case":[95,114],"study":[96],"used":[98],"demonstrate":[100],"potential":[102],"challenges":[104],"applying":[106],"practical":[110],"scenarios.":[111],"study,":[115],"supervised,":[116],"unsupervised,":[117],"semisupervised":[119],"leveraged":[124],"denoise":[126],"transmission":[127],"(TEM)":[130],"data":[131],"acquired":[132],"at":[133],"very":[135],"low":[136],"signal-to-noise":[137],"ratio":[138],"(SNR)":[139],"goal":[142],"investigating":[144],"dynamics":[146],"catalytic":[148],"nanoparticles.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-08-06T08:24:18.245995","created_date":"2025-10-10T00:00:00"}